scholarly journals Coronary Artery Disease Awareness: Levels of Socioeconomic Status and Dietary Restriction

2021 ◽  
Vol 1 (1) ◽  
pp. 37-42
Author(s):  
Snehita Prasad ◽  
Mritunjay Kumar Mishra ◽  
Tapeshwar Yadav

Introduction: India has undergone a remarkable demographic transition over the period time. Socioeconomic status indicators including education, income, and occupation are associated with coronary heart disease risk factors, morbidity, and mortality. Objective: To assess the socioeconomic status and diet restriction in patients with coronary artery diseases. Methods: The present study was a type of observational study conducted on total 200 subjects in Dhiraj Hospital, Sumandeep Vidyapeeth from August-2019 to July-2020 after ethical approval. Out of which 100 were coronary artery diseases and 100 were healthy controls. Patients with other than coronary artery diseases were excluded from the study, data were collected with the help of a pre-val­idated questionnaire and analyzed by SPSS-16 software. Results: Eighty-nine subjects with coronary artery diseases and seventy-five healthy controls were physically inactive. Eighty-five subjects with coronary artery diseases do not have any diet restriction, however, fifty-nine subjects had exposure to only primary education. Conclusion: Majority of the subjects were from a rural area, there were high illiteracy levels so there was low awareness. Patients could come to know the importance of physical activities and how to maintain a normal weight by following a dietary regimen to minimize the risks of disease.

2018 ◽  
Vol 25 (16) ◽  
pp. 1756-1764 ◽  
Author(s):  
Demir Djekic ◽  
Oskar Angerås ◽  
Georg Lappas ◽  
Erika Fagman ◽  
Björn Fagerberg ◽  
...  

Background Low socioeconomic status is associated with an increased risk of coronary artery disease, but few studies have investigated the potential link between living in an area with a low versus a high socioeconomic status and coronary artery calcification, a marker of subclinical coronary artery disease. Design The design of this study was a cross-sectional study. Methods We evaluated 1067 participants with no history of coronary artery disease from the pilot phase of the Swedish CArdioPulmonary bioImage Study (SCAPIS). Men and women aged 50–64 years were recruited from three high-socioeconomic status ( n = 541) and three low-socioeconomic status ( n = 526) areas in the city of Gothenburg (550,000 inhabitants). The coronary artery calcification score was assessed with the Agatston method using computed tomography, with individuals classified into either no coronary calcification ( n = 625; mean age, 57 years) or any coronary artery calcification ( n = 442; mean age, 59 years (men, 68.5%)). Results Coronary artery calcification was present in 244 (46.3%) and 198 (36.6%) individuals from the low- and high-socioeconomic status areas, respectively. Participants from the low-socioeconomic status areas had a significantly higher risk factor burden. In a multivariable logistic regression model with adjustment for age, sex and cardiovascular risk factors, the odds for coronary artery calcification were not significantly higher among persons living in low-socioeconomic status areas (odds ratio = 1.18, 95% confidence interval = 0.87–1.60). Conclusion In this relatively small cross-sectional study, we observed an association between living in a low-socioeconomic status area and coronary artery calcification. However, this was mostly explained by higher levels of cardiovascular disease risk factors, indicating that the effect of socioeconomic status on the atherosclerotic process works through an increased burden of cardiovascular disease risk factors.


2014 ◽  
Vol 6 (2) ◽  
pp. 107-111
Author(s):  
S Munwar ◽  
AHMW Islam ◽  
S Talukder ◽  
AQM Reza ◽  
T Ahmed ◽  
...  

Background: Aim of the study was to evaluate the primary procedural success of percutaneous coronary intervention of unprotected left main coronary artery stenosis using either Bare-metal stents or drug eluting stent. Methods: Total 33 patients were enrolled in this very preliminary non-randomized prospective cohort study. Among them, Male: 25 and Female: 8. Total 35 stents were deployed. Mean age were for Male: 59 yrs, for Female: 62 yrs. Associated coronary artery diseases risk factors were dyslipidemia, High Blood pressure, Diabetes Mellitus, Positive family history for coronary artery diseases and smoking. Results: Among the study group; 26 (78%) were Dyslipidemic, 24(70%) were hypertensive; 17 (51.5%) patients were Diabetic, 11(33%) were smoker and 7(21%) patients had family history of Ischaemic heart disease. Female patients were more obese (BMI M 26: F 27) and developed coronary artery diseases in advance age. Common stented territory were left main: 20 (60%), Left main to left anterior descending artery 7 (22%) and Left main to left circumflex artery 6 (18%). Average length and diameter of stent was 3.5 and 18 mm respectively. Stent used: Bare Metal Stent 5 (15%), Drug Eluting Stent: 28 (85%). Among the different Drug Eluting Stents, Everolimus eluting stents were 11 (39.3%), Sirolimus eluting 10(35.7%), Paclitaxel eluting 3 (10.7%), Biolimus eluting 3 (10.7%) and Zotarolimus eluting1 (3.6%). In the present study, overall survival outcome was 94% (31 patient), mortality of cardiac cause 3% (1 patient) and 1 patient (3%) died of hepatocellular carcinoma. Conclusion: Our study has shown that percutaneous coronary intervention of the unprotected left main is a safe and effective alternative to Coronary Artery Bypass Graft (CABG). DOI: http://dx.doi.org/10.3329/cardio.v6i2.18349 Cardiovasc. j. 2014; 6(2): 107-111


MicroRNA ◽  
2020 ◽  
Vol 09 ◽  
Author(s):  
Rashid Mir ◽  
Imadeldin Elfaki ◽  
Chandan k Jha ◽  
Jamsheed Javid ◽  
Suriya Rehman ◽  
...  

Aim: Apart from the modifiable risk factors, genetic factors are believed to also influence the outcome of the coronary artery diseases (CAD). Under the genetic factors, miRNA polymorphisms, namely Hsa-miR-146a-5p (rs2910164) have become an important tool to study the mechanism that underlies the pathogenesis of this disease. Therefore, we investigated the association of miR-146a gene variations with susceptibility of coronary artery diseases. Methodology: This study was conducted on 100 CAD patients and 117 matched healthy individuals. Genotyping of the Hsa-miR-146a-5p C>G gene variation was performed by using amplification refractory mutation system PCR method (ARMS-PCR). Results: The distribution of Hsa-miR-146a-5p rs2910164 C>G genotypes observed between patients and controls was significantly different (P=0.048). Moreover, the frequency of G allele (fG) was found to be significantly higher among patients than in controls (0.36 vs. 0.25). Our findings showed that the Hsa-miR-146a-5p C>G variant was associated with an increased risk of CAD in codominant inheritance model CC vs. CG genotype (OR = 1.84, 95 % CI, 1.02-3.31; p=0.040) and (OR = 3.18, 95 % CI, 1.02-9.9; p=0.045) for CC vs. GG genotype in dominant inheritance model. Whereas the G allele significantly increased the risk of coronary artery disease (OR =1,81, 95 % CI, 1.18-2.78; p=0.006) compared to C allele. Taken together, these results demonstrated that miR-146a/rs2910164 is associated with susceptibility to coronary artery disease, providing novel insights into the genetic etiology and underlying biology of coronary artery disease. Conclusion: Our findings indicated that Hsa-miR-146a-5p rs2910164 GG genotype and G allele are associated with an increased susceptibility to Coronary Artery Disease. A larger sample size can be the key to progress in establishing the genetic co-relation of miRNA gene polymorphisms and cardiovascular diseases.


2021 ◽  
Vol 77 (18) ◽  
pp. 213
Author(s):  
Alexis K. Okoh ◽  
Fady Soliman ◽  
Joshua Chao ◽  
Deng Xiaoyan ◽  
Kayla N. Laraia ◽  
...  

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Tiana Borgers ◽  
Nathalie Krüger ◽  
Silja Vocks ◽  
Jennifer J. Thomas ◽  
Franziska Plessow ◽  
...  

Abstract Background Fear of weight gain is a characteristic feature of anorexia nervosa (AN), and reducing this fear is often a main target of treatment. However, research shows that 20% of individuals with AN do not report fear of weight gain. Studies are needed that evaluate the centrality of fear of weight gain for AN with a method less susceptible to deception than self-report. Methods We approximated implicit fear of weight gain by measuring implicit drive for thinness using implicit association tests (IATs). We asked 64 participants (35 AN, 29 healthy controls [HCs]) to categorize statements as pro-dieting vs. non-dieting and true vs. false in a questionnaire-based IAT, and pictures of underweight vs. normal-weight models and positive vs. negative words in a picture-based IAT using two response keys. We tested for associations between implicit drive for thinness and explicitly reported psychopathology within AN as well as group differences between AN and HC groups. Results Correlation analyses within the AN group showed that higher implicit drive for thinness was associated with more pronounced eating disorder-specific psychopathology. Furthermore, the AN group showed a stronger implicit drive for thinness than HCs in both IATs. Conclusion The results highlight the relevance of considering fear of weight gain as a continuous construct. Our implicit assessment captures various degrees of fear of weight gain in AN, which might allow for more individually tailored interventions in the future.


Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 551
Author(s):  
Chris Boyd ◽  
Greg Brown ◽  
Timothy Kleinig ◽  
Joseph Dawson ◽  
Mark D. McDonnell ◽  
...  

Research into machine learning (ML) for clinical vascular analysis, such as those useful for stroke and coronary artery disease, varies greatly between imaging modalities and vascular regions. Limited accessibility to large diverse patient imaging datasets, as well as a lack of transparency in specific methods, are obstacles to further development. This paper reviews the current status of quantitative vascular ML, identifying advantages and disadvantages common to all imaging modalities. Literature from the past 8 years was systematically collected from MEDLINE® and Scopus database searches in January 2021. Papers satisfying all search criteria, including a minimum of 50 patients, were further analysed and extracted of relevant data, for a total of 47 publications. Current ML image segmentation, disease risk prediction, and pathology quantitation methods have shown sensitivities and specificities over 70%, compared to expert manual analysis or invasive quantitation. Despite this, inconsistencies in methodology and the reporting of results have prevented inter-model comparison, impeding the identification of approaches with the greatest potential. The clinical potential of this technology has been well demonstrated in Computed Tomography of coronary artery disease, but remains practically limited in other modalities and body regions, particularly due to a lack of routine invasive reference measurements and patient datasets.


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